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종단적 양적 내용 분석×트렌드 연구×
분야연구설계연구설계
계열Process / pipelineProcess / pipeline
기원 연도1950s onward; longitudinal application widely adopted in media research by the 1970s–1980sMid-20th century (formalised in social science methodology ~1950s–1960s)
창시자Developed within communication and media studies; codified by Berelson (1952) and extended by Riffe, Lacy, FicoEarl Babbie and survey research tradition
유형Quantitative observational research designQuantitative longitudinal research design
원전Riffe, D., Lacy, S., Watson, B., & Fico, F. (2019). Analyzing Media Messages: Using Quantitative Content Analysis in Research (4th ed.). Routledge. ISBN: 9781138490536Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101
별칭longitudinal content analysis, repeated-measure content analysis, time-series content analysis, longitudinal QCAtrend study, trend survey, longitudinal trend study, time-series survey
관련54
요약Longitudinal quantitative content analysis systematically codes and counts features of texts, images, or media messages gathered at two or more points in time, enabling researchers to track how content changes, how themes rise or fall in prevalence, and how media or institutional messaging responds to external events. The design merges the structured measurement logic of quantitative content analysis with the temporal tracking power of longitudinal observation.Trend research is a longitudinal quantitative design that tracks changes in a characteristic of a general population over time by surveying different, independently drawn samples at two or more time points. Unlike panel studies, the same individuals are not followed; rather, each wave draws a fresh sample from the same population, allowing researchers to detect population-level shifts in attitudes, behaviours, or conditions while avoiding the attrition and panel conditioning problems of repeated-measures designs.
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ScholarGate방법 비교: Longitudinal Quantitative Content Analysis · Trend Research. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare